Loofi – Our AI-Powered SQL Query Builder

Hacker News

Hi HN Community, We're a team of software engineers who've experienced the complexity of crafting SQL queries. To address this, we've developed a tool that simplifies this process. Introducing Loofi, an AI-powered SQL Query Builder. Loofi streamlines query building and leverages AI algorithms for intelligent recommendations. We value community feedback and invite you to try out Loofi. Your thoughts and suggestions will help us improve our tool. Here's the link to Loofi: https://loofi.dev/ For any questions or assistance, feel free to reach out. We're eager to engage with this community. Your valuable feedback is much appreciated!

Visit product View on Hacker NewsMay 21, 2023

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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